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Merge pull request #1887 from borglab/feature/essential_transfer
EssentialTransferFactor, EssentialTransferFactorK, and python wrapping
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/* ---------------------------------------------------------------------------- | ||
* GTSAM Copyright 2010, Georgia Tech Research Corporation, | ||
* Atlanta, Georgia 30332-0415 | ||
* All Rights Reserved | ||
* Authors: Frank Dellaert, et al. (see THANKS for the full author list) | ||
* See LICENSE for the license information | ||
* -------------------------------------------------------------------------- */ | ||
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/** | ||
* @file EssentialViewGraphExample.cpp | ||
* @brief View-graph calibration with essential matrices. | ||
* @author Frank Dellaert | ||
* @date October 2024 | ||
*/ | ||
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#include <gtsam/geometry/Cal3f.h> | ||
#include <gtsam/geometry/EssentialMatrix.h> | ||
#include <gtsam/geometry/PinholeCamera.h> | ||
#include <gtsam/geometry/Point2.h> | ||
#include <gtsam/geometry/Point3.h> | ||
#include <gtsam/geometry/Pose3.h> | ||
#include <gtsam/inference/EdgeKey.h> | ||
#include <gtsam/inference/Symbol.h> | ||
#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h> | ||
#include <gtsam/nonlinear/NonlinearFactorGraph.h> | ||
#include <gtsam/nonlinear/Values.h> | ||
#include <gtsam/sfm/TransferFactor.h> // Contains EssentialTransferFactorK | ||
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#include <vector> | ||
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#include "SFMdata.h" // For createPoints() and posesOnCircle() | ||
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using namespace std; | ||
using namespace gtsam; | ||
using namespace symbol_shorthand; // For K(symbol) | ||
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// Main function | ||
int main(int argc, char* argv[]) { | ||
// Define the camera calibration parameters | ||
Cal3f cal(50.0, 50.0, 50.0); | ||
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// Create the set of 8 ground-truth landmarks | ||
vector<Point3> points = createPoints(); | ||
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// Create the set of 4 ground-truth poses | ||
vector<Pose3> poses = posesOnCircle(4, 30); | ||
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// Calculate ground truth essential matrices, 1 and 2 poses apart | ||
auto E1 = EssentialMatrix::FromPose3(poses[0].between(poses[1])); | ||
auto E2 = EssentialMatrix::FromPose3(poses[0].between(poses[2])); | ||
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// Simulate measurements from each camera pose | ||
std::array<std::array<Point2, 8>, 4> p; | ||
for (size_t i = 0; i < 4; ++i) { | ||
PinholeCamera<Cal3f> camera(poses[i], cal); | ||
for (size_t j = 0; j < 8; ++j) { | ||
p[i][j] = camera.project(points[j]); | ||
} | ||
} | ||
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// Create the factor graph | ||
NonlinearFactorGraph graph; | ||
using Factor = EssentialTransferFactorK<Cal3f>; | ||
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for (size_t a = 0; a < 4; ++a) { | ||
size_t b = (a + 1) % 4; // Next camera | ||
size_t c = (a + 2) % 4; // Camera after next | ||
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// Vectors to collect tuples for each factor | ||
std::vector<std::tuple<Point2, Point2, Point2>> tuples1, tuples2, tuples3; | ||
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// Collect data for the three factors | ||
for (size_t j = 0; j < 8; ++j) { | ||
tuples1.emplace_back(p[a][j], p[b][j], p[c][j]); | ||
tuples2.emplace_back(p[a][j], p[c][j], p[b][j]); | ||
tuples3.emplace_back(p[c][j], p[b][j], p[a][j]); | ||
} | ||
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// Add transfer factors between views a, b, and c. | ||
graph.emplace_shared<Factor>(EdgeKey(a, c), EdgeKey(b, c), tuples1); | ||
graph.emplace_shared<Factor>(EdgeKey(a, b), EdgeKey(b, c), tuples2); | ||
graph.emplace_shared<Factor>(EdgeKey(a, c), EdgeKey(a, b), tuples3); | ||
} | ||
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// Formatter for printing keys | ||
auto formatter = [](Key key) { | ||
if (Symbol(key).chr() == 'k') { | ||
return (string)Symbol(key); | ||
} else { | ||
EdgeKey edge(key); | ||
return (std::string)edge; | ||
} | ||
}; | ||
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graph.print("Factor Graph:\n", formatter); | ||
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// Create a delta vector to perturb the ground truth (small perturbation) | ||
Vector5 delta; | ||
delta << 1, 1, 1, 1, 1; | ||
delta *= 1e-2; | ||
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// Create the initial estimate for essential matrices | ||
Values initialEstimate; | ||
for (size_t a = 0; a < 4; ++a) { | ||
size_t b = (a + 1) % 4; // Next camera | ||
size_t c = (a + 2) % 4; // Camera after next | ||
initialEstimate.insert(EdgeKey(a, b), E1.retract(delta)); | ||
initialEstimate.insert(EdgeKey(a, c), E2.retract(delta)); | ||
} | ||
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// Insert initial calibrations (using K symbol) | ||
for (size_t i = 0; i < 4; ++i) { | ||
initialEstimate.insert(K(i), cal); | ||
} | ||
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initialEstimate.print("Initial Estimates:\n", formatter); | ||
graph.printErrors(initialEstimate, "Initial Errors:\n", formatter); | ||
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// Optimize the graph and print results | ||
LevenbergMarquardtParams params; | ||
params.setlambdaInitial(1000.0); // Initialize lambda to a high value | ||
params.setVerbosityLM("SUMMARY"); | ||
Values result = | ||
LevenbergMarquardtOptimizer(graph, initialEstimate, params).optimize(); | ||
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cout << "Initial error = " << graph.error(initialEstimate) << endl; | ||
cout << "Final error = " << graph.error(result) << endl; | ||
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result.print("Final Results:\n", formatter); | ||
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E1.print("Ground Truth E1:\n"); | ||
E2.print("Ground Truth E2:\n"); | ||
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return 0; | ||
} |
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/* ---------------------------------------------------------------------------- | ||
* GTSAM Copyright 2010, Georgia Tech Research Corporation, | ||
* Atlanta, Georgia 30332-0415 | ||
* All Rights Reserved | ||
* Authors: Frank Dellaert, et al. (see THANKS for the full author list) | ||
* See LICENSE for the license information | ||
* -------------------------------------------------------------------------- */ | ||
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/* ---------------------------------------------------------------------------- | ||
* GTSAM Copyright 2010 | ||
* See LICENSE for the license information | ||
* -------------------------------------------------------------------------- */ | ||
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/** | ||
* @file Cal3f.cpp | ||
* @brief Implementation file for Cal3f class | ||
* @author Frank Dellaert | ||
* @date October 2024 | ||
*/ | ||
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#include <gtsam/base/Matrix.h> | ||
#include <gtsam/base/Vector.h> | ||
#include <gtsam/geometry/Cal3f.h> | ||
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#include <iostream> | ||
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namespace gtsam { | ||
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/* ************************************************************************* */ | ||
Cal3f::Cal3f(double f, double u0, double v0) : Cal3(f, f, 0.0, u0, v0) {} | ||
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/* ************************************************************************* */ | ||
std::ostream& operator<<(std::ostream& os, const Cal3f& cal) { | ||
os << "f: " << cal.fx_ << ", px: " << cal.u0_ << ", py: " << cal.v0_; | ||
return os; | ||
} | ||
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/* ************************************************************************* */ | ||
void Cal3f::print(const std::string& s) const { | ||
if (!s.empty()) std::cout << s << " "; | ||
std::cout << *this << std::endl; | ||
} | ||
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/* ************************************************************************* */ | ||
bool Cal3f::equals(const Cal3f& K, double tol) const { | ||
return Cal3::equals(static_cast<const Cal3&>(K), tol); | ||
} | ||
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/* ************************************************************************* */ | ||
Vector1 Cal3f::vector() const { | ||
Vector1 v; | ||
v << fx_; | ||
return v; | ||
} | ||
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/* ************************************************************************* */ | ||
Point2 Cal3f::uncalibrate(const Point2& p, OptionalJacobian<2, 1> Dcal, | ||
OptionalJacobian<2, 2> Dp) const { | ||
assert(fx_ == fy_ && s_ == 0.0); | ||
const double x = p.x(), y = p.y(); | ||
const double u = fx_ * x + u0_; | ||
const double v = fx_ * y + v0_; | ||
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if (Dcal) { | ||
Dcal->resize(2, 1); | ||
(*Dcal) << x, y; | ||
} | ||
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if (Dp) { | ||
Dp->resize(2, 2); | ||
(*Dp) << fx_, 0.0, // | ||
0.0, fx_; | ||
} | ||
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return Point2(u, v); | ||
} | ||
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/* ************************************************************************* */ | ||
Point2 Cal3f::calibrate(const Point2& pi, OptionalJacobian<2, 1> Dcal, | ||
OptionalJacobian<2, 2> Dp) const { | ||
assert(fx_ == fy_ && s_ == 0.0); | ||
const double u = pi.x(), v = pi.y(); | ||
double delta_u = u - u0_, delta_v = v - v0_; | ||
double inv_f = 1.0 / fx_; | ||
Point2 point(inv_f * delta_u, inv_f * delta_v); | ||
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if (Dcal) { | ||
Dcal->resize(2, 1); | ||
(*Dcal) << -inv_f * point.x(), -inv_f * point.y(); | ||
} | ||
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if (Dp) { | ||
Dp->resize(2, 2); | ||
(*Dp) << inv_f, 0.0, // | ||
0.0, inv_f; | ||
} | ||
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return point; | ||
} | ||
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} // namespace gtsam |
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